Gemini 3.1 Pro vs Claude Sonnet 4.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Gemini 3.1 Pro dari Google dan Claude Sonnet 4.5 dari Anthropic adalah dua model AI unggulan. Gemini 3.1 Pro menawarkan jendela konteks 1.05M token dengan harga $2.00/$12.00 per 1 juta token, sedangkan Claude Sonnet 4.5 menyediakan konteks 1M token seharga $3.00/$15.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Gemini 3.1 Pro
Pemimpin Pemrograman & KodeGemini 3.1 Pro dari Google adalah model AI yang dirancang untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, menghadirkan jendela konteks 1.0M, kecepatan 110 token/detik, indeks kecerdasan 86/100, serta t
$2.00 / 1M
$12.00 / 1M
1.05M tokens
74.5%
Claude Sonnet 4.5
Model Unggulan Garis DepanClaude Sonnet 4.5 dari Anthropic adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 1M, kecepatan 90 token/detik, indeks kecerdasan 91/100, serta
$3.00 / 1M
$15.00 / 1M
1M tokens
77.8%
Perbedaan Utama Sekilas
- Gemini 3.1 Pro is 1.3x cheaper for API usage (input + output tokens combined).
- Gemini 3.1 Pro has a larger context window (1M vs 1M tokens).
- Gemini 3.1 Pro is faster at 110 tok/s vs 90 tok/s.
- Claude Sonnet 4.5 leads on SWE-bench coding (77.8% vs 74.5%).
| Feature | Gemini 3.1 Pro | Claude Sonnet 4.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 86 | 91 |
Provider | Anthropic | |
Input Price Cost per million input tokens | $2.00 / 1M | $3.00 / 1M |
Output Price Cost per million output tokens | $12.00 / 1M | $15.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $1.95 / 1M | $2.31 / 1M |
Context Window Maximum input + output tokens | 1.05M tokens~1,573 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 66K | 64K |
Throughput Speed Tokens generated per second | 110 tok/s | 90 tok/s |
SWE-bench Verified Real-world software engineering | 74.5% | 77.8% |
GPQA Diamond Graduate-level reasoning | 86.5% | 70.2% |
Cached Input Price Prompt caching discount per 1M tokens | $0.50 / 1M | $0.30 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkSkor Benchmark Terverifikasi
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Gemini 3.1 Pro · Strengths & Key Advantages
- Jendela konteks 1.0M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 74.5% · GPQA Diamond 86.5%)
- Kecepatan generasi tinggi 110 token/detik dengan latensi token pertama (TTFT) hanya 780 ms
- Skema harga API kompetitif (tarif $2/$12 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya
Claude Sonnet 4.5 · Strengths & Key Advantages
- Jendela konteks 1M dengan kapasitas output maksimum hingga 64K token (SWE-bench Verified 77.8% · GPQA Diamond 70.2%)
- Kecepatan generasi tinggi 90 token/detik dengan latensi token pertama (TTFT) hanya 900 ms
- Skema harga API kompetitif (tarif $3/$15 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini 3.1 Pro | Claude Sonnet 4.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.85 | $2.10 |
Output Tokens / Task Tokens generated per task | 52K | 55K |
Reasoning Tokens / Task Thinking tokens burned per task | 26K | 30K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Gemini 3.1 Pro | Claude Sonnet 4.5 |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-3-1-pro | claude-sonnet-4-5-20251101 |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2026-02 | 2025-11 |
| Knowledge Cutoff | November 2025 | March 2025 |
| Architecture | Pathways High-Capacity Reasoning Architecture | Hybrid Reasoning |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.5/1M with configurable TTL | $0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Custom Model Tuning via Amazon Bedrock & Prompt Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | Google DeepMind Frontier Safety Framework Verified | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision, audio, video | text, vision |
| Output Modalities | text | text |
Gemini 3.1 Pro vs Claude Sonnet 4.5: Jawaban Cepat (FAQ)
Which is more intelligent, Gemini 3.1 Pro or Claude Sonnet 4.5?
Claude Sonnet 4.5 is more intelligent. It scores 91 compared with 86 on the composite Intelligence Index.
Which model is faster?
Gemini 3.1 Pro is faster, generating 110 tokens per second compared with 90 tokens per second.
Which model is cheaper to run?
Gemini 3.1 Pro is cheaper at $1.95 per 1M tokens blended, compared with $2.31 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini 3.1 Pro has lower latency, with a time to first token of 0.78s compared with 0.90s.
Which model has a larger context window?
Gemini 3.1 Pro has a larger context window, supporting 1.05M tokens compared with 1M tokens.
Kesimpulan
Baik Gemini 3.1 Pro (Sangat cocok untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude Sonnet 4.5 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude Sonnet 4.5 unggul dalam penalaran dan pemrograman, Gemini 3.1 Pro memberikan kecepatan generasi token lebih tinggi, dan Gemini 3.1 Pro lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Gemini 3.1 Pro atau Claude Sonnet 4.5?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Claude Sonnet 4.5 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Gemini 3.1 Pro vs Claude Sonnet 4.5?+
Gemini 3.1 Pro mengenakan biaya $2.00 / $12.00 per 1M token input/output, sedangkan Claude Sonnet 4.5 sebesar $3.00 / $15.00. Secara keseluruhan, Gemini 3.1 Pro lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Gemini 3.1 Pro mendukung konteks 1.05M token dibandingkan 1M token pada Claude Sonnet 4.5, sementara Gemini 3.1 Pro unggul dalam kecepatan output token per detik.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Sumber resmi: Dokumentasi API resmi Google & Anthropic serta evaluasi benchmark independen (2026).